Surabhi Kumari

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Surabhi Kumari trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Yoon Kim
  3. Kyunghyun Cho
  4. Ilya Sutskever
  5. Vinod Nair
  6. Tomas Mikolov
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Nitish Srivastava
  10. Xin Li

Papers from Surabhi Kumari's perspective

Ordered by how strongly the researchers Surabhi Kumari trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers